| Recent developments of the ABINIT software package G Xavier, Jollet, A Araujo, Adams, Amadon, Applencourt, Audouze, ... Computer Physics Communications 205, 106-131, 2016 | 798* | 2016 |
| Reduced‐order modeling of parameterized PDEs using time–space‐parameter principal component analysis C Audouze, F De Vuyst, PB Nair International journal for numerical methods in engineering 80 (8), 1025-1057, 2009 | 146 | 2009 |
| Nonintrusive reduced‐order modeling of parametrized time‐dependent partial differential equations C Audouze, F De Vuyst, PB Nair Numerical Methods for Partial Differential Equations 29 (5), 1587-1628, 2013 | 128 | 2013 |
| Projector augmented-wave approach to density-functional perturbation theory C Audouze, F Jollet, M Torrent, X Gonze Physical Review B 73 (23), 235101, 2006 | 43 | 2006 |
| Comparison between projector augmented-wave and ultrasoft pseudopotential formalisms at the density-functional perturbation theory level C Audouze, F Jollet, M Torrent, X Gonze Physical Review B 78 (3), 035105, 2008 | 24 | 2008 |
| Symplectic multi-time step parareal algorithms applied to molecular dynamics C Audouze, M Massot, S Volz | 20 | 2009 |
| Galerkin reduced‐order modeling scheme for time‐dependent randomly parametrized linear partial differential equations C Audouze, PB Nair International journal for numerical methods in engineering 92 (4), 370-398, 2012 | 12 | 2012 |
| Preconditioned gradient flows for nonlinear eigenvalue problems and application to the Hartree‐Fock functional F Alouges, C Audouze Numerical Methods for Partial Differential Equations: An International …, 2009 | 9 | 2009 |
| Anchored ANOVA Petrov–Galerkin projection schemes for parabolic stochastic partial differential equations C Audouze, PB Nair Computer Methods in Applied Mechanics and Engineering 276, 362-395, 2014 | 6 | 2014 |
| A priori error analysis of stochastic Galerkin projection schemes for randomly parametrized ordinary differential equations C Audouze, P Nair International Journal for Uncertainty Quantification, 2016 | 5 | 2016 |
| Anchored analysis of variance Petrov–Galerkin projection schemes for linear stochastic structural dynamics L Gao, C Audouze, P Nair Royal Proceedings A 471, 2015 | 5 | 2015 |
| Some a priori error estimates for finite element approximations of elliptic and parabolic linear stochastic partial differential equations C Audouze, P Nair International Journal for Uncertainty Quantification 4, 423-454, 2014 | 5 | 2014 |
| Physics-based metamodeling for parameterized pde problems using space-parameter space principal component analysis F De Vuyst, C Audouze Model Reduction: Theory and Applications, 2007 | 5 | 2007 |
| Sparse approximate solutions to stochastic Galerkin equations C Audouze, PB Nair Comptes Rendus. Mathématique 357 (6), 561-570, 2019 | 4 | 2019 |
| Sparse low-rank separated representation models for learning from data C Audouze, PB Nair Proceedings of the Royal Society A 475 (2221), 20180490, 2019 | 2 | 2019 |
| A stopping criterion for iterative solution of stochastic Galerkin matrix equations C Audouze, P Hakansson, P Nair International Journal for Uncertainty Quantification, 2016 | 2 | 2016 |
| The parareal algorithm as time domain decomposition method. Applications in Finance and Biology C Audouze, F Daïm, F De Vuyst, P Laurent, I Muni-Toke Schwarz algorithms and domain decompositions methods 3, 2013 | 2* | 2013 |
| Implementation of density-functional perturbation theory within ABINIT: Projector augmented-waves and spin-orbit X Gonze, M Verstraete, C Audouze, M Torrent, F Jollet AIP Conference Proceedings 1504 (1), 944-947, 2012 | 2 | 2012 |
| Vers une parallélisation par bandes en chimie quantique C Audouze Laboratoire de Mathématique, UMR CNRS 8628, 1-8, 0 | 2 | |
| A priori error estimates for finite element approximations of parabolic stochastic partial differential equations with generalized random variables C Audouze, PB Nair An International Journal of Probability and Stochastic Processes, 2015 | 1 | 2015 |
Prasanth B. NairInstitute for Aerospace Studies, University of TorontoVerified email at utias.utoronto.ca
